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Side by Side Diff: Tools/Scripts/webkitpy/common/editdistance.py

Issue 479633002: Remove several unneeded modules from webkitpy.common. (Closed) Base URL: svn://svn.chromium.org/blink/trunk
Patch Set: Created 6 years, 4 months ago
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1 # Copyright (c) 2011 Google Inc. All rights reserved.
2 #
3 # Redistribution and use in source and binary forms, with or without
4 # modification, are permitted provided that the following conditions are
5 # met:
6 #
7 # * Redistributions of source code must retain the above copyright
8 # notice, this list of conditions and the following disclaimer.
9 # * Redistributions in binary form must reproduce the above
10 # copyright notice, this list of conditions and the following disclaimer
11 # in the documentation and/or other materials provided with the
12 # distribution.
13 # * Neither the name of Google Inc. nor the names of its
14 # contributors may be used to endorse or promote products derived from
15 # this software without specific prior written permission.
16 #
17 # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
18 # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
19 # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
20 # A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
21 # OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
22 # SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
23 # LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
24 # DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
25 # THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
26 # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
27 # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
28
29 from array import array
30
31
32 def edit_distance(str1, str2):
33 unsignedShort = 'h'
34 distances = [array(unsignedShort, (0,) * (len(str2) + 1)) for i in range(0, len(str1) + 1)]
35 # distances[0][0] = 0 since distance between str1[:0] and str2[:0] is 0
36 for i in range(1, len(str1) + 1):
37 distances[i][0] = i # Distance between str1[:i] and str2[:0] is i
38
39 for j in range(1, len(str2) + 1):
40 distances[0][j] = j # Distance between str1[:0] and str2[:j] is j
41
42 for i in range(0, len(str1)):
43 for j in range(0, len(str2)):
44 diff = 0 if str1[i] == str2[j] else 1
45 # Deletion, Insertion, Identical / Replacement
46 distances[i + 1][j + 1] = min(distances[i + 1][j] + 1, distances[i][ j + 1] + 1, distances[i][j] + diff)
47 return distances[len(str1)][len(str2)]
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